from sklearn_benchmarks.reporting.hp_match import HPMatchReporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = HPMatchReporting("sklearnex", config="config.yml")
reporting.run()
KNeighborsClassifier_brute_force¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=brute.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.013 | 0.0 | NaN | 6.371 | 0.0 | -1 | 1 | NaN | NaN | 0.061 | 0.000 | 0.205 | 0.205 | See | See |
| 5 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.644 | 0.0 | -1 | 5 | NaN | 1.000 | 0.009 | 0.000 | 1.282 | 1.282 | See | See |
| 10 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.415 | 0.0 | 1 | 100 | NaN | 0.875 | 0.212 | 0.010 | 0.059 | 0.059 | See | See |
| 15 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.544 | 0.0 | -1 | 100 | NaN | NaN | 0.049 | 0.000 | 0.251 | 0.251 | See | See |
| 20 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.601 | 0.0 | 1 | 5 | NaN | 1.000 | 0.001 | 0.000 | 16.435 | 16.785 | See | See |
| 25 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.598 | 0.0 | 1 | 1 | NaN | 0.975 | 0.062 | 0.001 | 0.197 | 0.197 | See | See |
| 30 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | 0.348 | 0.0 | -1 | 1 | NaN | NaN | 0.009 | 0.000 | 0.519 | 0.519 | See | See |
| 35 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | 0.332 | 0.0 | -1 | 5 | NaN | 1.000 | 0.001 | 0.000 | 6.900 | 7.107 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 17.058 | 0.101 | NaN | 0.000 | 0.017 | -1 | 1 | 0.663 | 0.687 | 0.173 | 0.004 | 98.819 | 98.849 | See | See |
| 2 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 1.909 | 0.033 | NaN | 0.000 | 0.002 | -1 | 1 | 0.663 | 1.000 | 0.009 | 0.000 | 207.022 | 207.062 | See | See |
| 3 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.303 | 0.007 | NaN | 0.000 | 0.303 | -1 | 1 | 1.000 | NaN | 0.048 | 0.000 | 6.262 | 6.262 | See | See |
| 4 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.026 | 0.003 | NaN | 0.000 | 0.026 | -1 | 1 | 1.000 | 0.742 | 0.173 | 0.001 | 0.148 | 0.148 | See | See |
| 6 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 17.040 | 0.097 | NaN | 0.000 | 0.017 | -1 | 5 | 0.757 | NaN | 0.049 | 0.000 | 350.556 | 350.556 | See | See |
| 7 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.811 | 0.027 | NaN | 0.000 | 0.003 | -1 | 5 | 0.757 | 0.875 | 0.208 | 0.001 | 13.532 | 13.532 | See | See |
| 8 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.305 | 0.008 | NaN | 0.000 | 0.305 | -1 | 5 | 1.000 | 0.000 | 0.009 | 0.000 | 32.364 | 32.368 | See | See |
| 9 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.025 | 0.003 | NaN | 0.000 | 0.025 | -1 | 5 | 1.000 | NaN | 0.049 | 0.000 | 0.524 | 0.524 | See | See |
| 11 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.977 | 0.062 | NaN | 0.000 | 0.017 | 1 | 100 | 0.882 | 0.000 | 0.009 | 0.000 | 1816.460 | 1816.676 | See | See |
| 12 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.067 | 0.012 | NaN | 0.000 | 0.002 | 1 | 100 | 0.882 | NaN | 0.049 | 0.000 | 42.462 | 42.462 | See | See |
| 13 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.304 | 0.009 | NaN | 0.000 | 0.304 | 1 | 100 | 1.000 | 0.742 | 0.175 | 0.001 | 1.736 | 1.736 | See | See |
| 14 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.025 | 0.006 | NaN | 0.000 | 0.025 | 1 | 100 | 1.000 | 1.000 | 0.009 | 0.000 | 2.666 | 2.667 | See | See |
| 16 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 17.451 | 0.158 | NaN | 0.000 | 0.017 | -1 | 100 | 0.882 | 0.687 | 0.174 | 0.001 | 100.195 | 100.196 | See | See |
| 17 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.866 | 0.035 | NaN | 0.000 | 0.003 | -1 | 100 | 0.882 | 1.000 | 0.009 | 0.000 | 304.814 | 304.991 | See | See |
| 18 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.308 | 0.004 | NaN | 0.000 | 0.308 | -1 | 100 | 1.000 | NaN | 0.009 | 0.000 | 34.993 | 34.993 | See | See |
| 19 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.026 | 0.002 | NaN | 0.000 | 0.026 | -1 | 100 | 1.000 | 0.967 | 0.027 | 0.001 | 0.984 | 0.984 | See | See |
| 21 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.827 | 0.055 | NaN | 0.000 | 0.017 | 1 | 5 | 0.757 | NaN | 0.009 | 0.000 | 1917.486 | 1917.486 | See | See |
| 22 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.049 | 0.006 | NaN | 0.000 | 0.002 | 1 | 5 | 0.757 | 0.974 | 0.028 | 0.000 | 73.267 | 73.274 | See | See |
| 23 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.308 | 0.006 | NaN | 0.000 | 0.308 | 1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 414.091 | 420.862 | See | See |
| 24 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.022 | 0.000 | NaN | 0.000 | 0.022 | 1 | 5 | 1.000 | NaN | 0.009 | 0.000 | 2.508 | 2.508 | See | See |
| 26 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.959 | 0.024 | NaN | 0.000 | 0.017 | 1 | 1 | 0.663 | 1.000 | 0.001 | 0.000 | 20991.325 | 21326.580 | See | See |
| 27 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 1.185 | 0.004 | NaN | 0.001 | 0.001 | 1 | 1 | 0.663 | NaN | 0.009 | 0.000 | 135.438 | 135.438 | See | See |
| 28 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.307 | 0.006 | NaN | 0.000 | 0.307 | 1 | 1 | 1.000 | 0.975 | 0.060 | 0.000 | 5.085 | 5.085 | See | See |
| 29 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.022 | 0.002 | NaN | 0.000 | 0.022 | 1 | 1 | 1.000 | 1.000 | 0.001 | 0.000 | 27.403 | 27.777 | See | See |
| 31 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 2 | 3.711 | 0.015 | NaN | 0.000 | 0.004 | -1 | 1 | 0.896 | 0.974 | 0.027 | 0.000 | 136.426 | 136.437 | See | See |
| 32 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 2 | 1.776 | 0.020 | NaN | 0.000 | 0.002 | -1 | 1 | 0.896 | 1.000 | 0.001 | 0.001 | 1720.520 | 1916.230 | See | See |
| 33 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 2 | 0.242 | 0.005 | NaN | 0.000 | 0.242 | -1 | 1 | 1.000 | NaN | 0.009 | 0.000 | 27.257 | 27.257 | See | See |
| 34 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 2 | 0.006 | 0.004 | NaN | 0.000 | 0.006 | -1 | 1 | 1.000 | 0.967 | 0.026 | 0.000 | 0.231 | 0.231 | See | See |
KNeighborsClassifier_kd_tree¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=kd_tree.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.300 | 0.0 | NaN | 0.024 | 0.0 | -1 | 1 | NaN | NaN | 0.876 | 0.000 | 3.766 | 3.766 | See | See |
| 5 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 4.099 | 0.0 | NaN | 0.020 | 0.0 | -1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 9453.824 | 10444.309 | See | See |
| 10 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.946 | 0.0 | NaN | 0.020 | 0.0 | 1 | 100 | NaN | 0.940 | 0.656 | 0.006 | 6.014 | 6.015 | See | See |
| 15 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.925 | 0.0 | NaN | 0.020 | 0.0 | -1 | 100 | NaN | NaN | 0.725 | 0.000 | 5.414 | 5.414 | See | See |
| 20 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.967 | 0.0 | NaN | 0.020 | 0.0 | 1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 36441.260 | 47341.929 | See | See |
| 25 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.969 | 0.0 | NaN | 0.020 | 0.0 | 1 | 1 | NaN | 0.917 | 0.005 | 0.000 | 837.372 | 840.293 | See | See |
| 30 | KNeighborsClassifier_kd_tree | False | fit | 1000 | 1000 | 2 | 0.003 | 0.0 | NaN | 0.005 | 0.0 | -1 | 1 | NaN | NaN | 0.004 | 0.000 | 0.803 | 0.803 | See | See |
| 35 | KNeighborsClassifier_kd_tree | False | fit | 1000 | 1000 | 2 | 0.001 | 0.0 | NaN | 0.017 | 0.0 | -1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 8.117 | 10.429 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 120.845 | 0.000 | NaN | 0.000 | 0.121 | -1 | 1 | 0.929 | 0.910 | 0.123 | 0.001 | 981.581 | 981.593 | See | See |
| 2 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.469 | 0.004 | NaN | 0.000 | 0.000 | -1 | 1 | 0.929 | 1.000 | 0.000 | 0.000 | 1658.675 | 1856.844 | See | See |
| 3 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.615 | 0.144 | NaN | 0.000 | 2.615 | -1 | 1 | 1.000 | NaN | 0.779 | 0.000 | 3.356 | 3.356 | See | See |
| 4 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | -1 | 1 | 1.000 | 0.941 | 0.222 | 0.001 | 0.013 | 0.013 | See | See |
| 6 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 122.155 | 0.000 | NaN | 0.000 | 0.122 | -1 | 5 | 0.946 | NaN | 0.753 | 0.000 | 162.168 | 162.168 | See | See |
| 7 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.887 | 0.004 | NaN | 0.000 | 0.001 | -1 | 5 | 0.946 | 0.940 | 0.648 | 0.003 | 1.369 | 1.369 | See | See |
| 8 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.581 | 0.109 | NaN | 0.000 | 2.581 | -1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 2890.917 | 3074.270 | See | See |
| 9 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | -1 | 5 | 1.000 | NaN | 0.749 | 0.000 | 0.004 | 0.004 | See | See |
| 11 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 130.098 | 0.000 | NaN | 0.000 | 0.130 | 1 | 100 | 0.951 | 1.000 | 0.001 | 0.000 | 159060.607 | 171629.162 | See | See |
| 12 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 5.374 | 0.008 | NaN | 0.000 | 0.005 | 1 | 100 | 0.951 | NaN | 0.738 | 0.000 | 7.279 | 7.279 | See | See |
| 13 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.608 | 0.163 | NaN | 0.000 | 2.608 | 1 | 100 | 1.000 | 0.941 | 0.223 | 0.002 | 11.703 | 11.703 | See | See |
| 14 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | 1 | 100 | 1.000 | 1.000 | 0.000 | 0.000 | 7.842 | 8.518 | See | See |
| 16 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 133.856 | 0.000 | NaN | 0.000 | 0.134 | -1 | 100 | 0.951 | 0.910 | 0.123 | 0.002 | 1090.323 | 1090.462 | See | See |
| 17 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 2.953 | 0.030 | NaN | 0.000 | 0.003 | -1 | 100 | 0.951 | 1.000 | 0.000 | 0.000 | 10252.180 | 11388.749 | See | See |
| 18 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.574 | 0.061 | NaN | 0.000 | 2.574 | -1 | 100 | 1.000 | NaN | 0.001 | 0.000 | 2614.699 | 2614.699 | See | See |
| 19 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.006 | 0.001 | NaN | 0.000 | 0.006 | -1 | 100 | 1.000 | 0.879 | 0.000 | 0.000 | 12.289 | 12.808 | See | See |
| 21 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 135.558 | 0.000 | NaN | 0.000 | 0.136 | 1 | 5 | 0.946 | NaN | 0.002 | 0.000 | 67522.040 | 67522.040 | See | See |
| 22 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 1.620 | 0.004 | NaN | 0.000 | 0.002 | 1 | 5 | 0.946 | 0.905 | 0.001 | 0.000 | 2189.471 | 2247.740 | See | See |
| 23 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.602 | 0.116 | NaN | 0.000 | 2.602 | 1 | 5 | 1.000 | 1.000 | 0.000 | 0.000 | 23276.934 | 31109.373 | See | See |
| 24 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | 1 | 5 | 1.000 | NaN | 0.006 | 0.000 | 0.258 | 0.258 | See | See |
| 26 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 140.781 | 0.000 | NaN | 0.000 | 0.141 | 1 | 1 | 0.929 | 1.000 | 0.000 | 0.000 | 1193250.919 | 1533198.409 | See | See |
| 27 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.848 | 0.003 | NaN | 0.000 | 0.001 | 1 | 1 | 0.929 | NaN | 0.005 | 0.000 | 167.991 | 167.991 | See | See |
| 28 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.585 | 0.059 | NaN | 0.000 | 2.585 | 1 | 1 | 1.000 | 0.917 | 0.005 | 0.000 | 552.084 | 553.814 | See | See |
| 29 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 1 | 1.000 | 1.000 | 0.000 | 0.000 | 8.418 | 10.567 | See | See |
| 31 | KNeighborsClassifier_kd_tree | True | predict | 1000 | 1000 | 2 | 0.037 | 0.000 | NaN | 0.000 | 0.000 | -1 | 1 | 0.891 | 0.905 | 0.001 | 0.000 | 48.365 | 49.280 | See | See |
| 32 | KNeighborsClassifier_kd_tree | False | predict | 1000 | 1000 | 2 | 0.022 | 0.001 | NaN | 0.001 | 0.000 | -1 | 1 | 0.891 | 1.000 | 0.000 | 0.000 | 191.472 | 243.365 | See | See |
| 33 | KNeighborsClassifier_kd_tree | True | predict | 1000 | 1 | 2 | 0.005 | 0.000 | NaN | 0.000 | 0.005 | -1 | 1 | 1.000 | NaN | 0.005 | 0.000 | 1.067 | 1.067 | See | See |
| 34 | KNeighborsClassifier_kd_tree | False | predict | 1000 | 1 | 2 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | -1 | 1 | 1.000 | 0.879 | 0.000 | 0.000 | 4.943 | 5.168 | See | See |
KMeans_tall¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | False | fit | 1000000 | 1000000 | 2 | 0.777 | 0.0 | 30 | 0.021 | 0.0 | random | NaN | 30 | NaN | 0.410 | 0.0 | 1.898 | 1.898 | See | See |
| 3 | KMeans_tall | False | fit | 1000000 | 1000000 | 2 | 0.572 | 0.0 | 30 | 0.028 | 0.0 | k-means++ | NaN | 30 | NaN | 0.443 | 0.0 | 1.291 | 1.291 | See | See |
| 6 | KMeans_tall | False | fit | 1000000 | 1000000 | 100 | 6.000 | 0.0 | 30 | 0.133 | 0.0 | random | NaN | 30 | NaN | 2.779 | 0.0 | 2.159 | 2.159 | See | See |
| 9 | KMeans_tall | False | fit | 1000000 | 1000000 | 100 | 5.844 | 0.0 | 30 | 0.137 | 0.0 | k-means++ | NaN | 30 | NaN | 2.916 | 0.0 | 2.004 | 2.004 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | False | predict | 1000000 | 1000 | 2 | 0.001 | 0.0 | 30 | 0.012 | 0.000 | random | 0.000 | 30 | 0.001 | 0.0 | 0.0 | 9.340 | 11.378 | See | See |
| 2 | KMeans_tall | False | predict | 1000000 | 1 | 2 | 0.001 | 0.0 | 30 | 0.000 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 11.353 | 14.150 | See | See |
| 4 | KMeans_tall | False | predict | 1000000 | 1000 | 2 | 0.001 | 0.0 | 30 | 0.011 | 0.000 | k-means++ | 0.001 | 30 | 0.001 | 0.0 | 0.0 | 8.778 | 10.391 | See | See |
| 5 | KMeans_tall | False | predict | 1000000 | 1 | 2 | 0.001 | 0.0 | 30 | 0.000 | 0.001 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.938 | 13.761 | See | See |
| 7 | KMeans_tall | False | predict | 1000000 | 1000 | 100 | 0.002 | 0.0 | 30 | 0.493 | 0.000 | random | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 5.668 | 6.279 | See | See |
| 8 | KMeans_tall | False | predict | 1000000 | 1 | 100 | 0.001 | 0.0 | 30 | 0.001 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.078 | 11.906 | See | See |
| 10 | KMeans_tall | False | predict | 1000000 | 1000 | 100 | 0.002 | 0.0 | 30 | 0.475 | 0.000 | k-means++ | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 5.611 | 6.207 | See | See |
| 11 | KMeans_tall | False | predict | 1000000 | 1 | 100 | 0.001 | 0.0 | 30 | 0.001 | 0.001 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 9.310 | 11.459 | See | See |
KMeans_short¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | False | fit | 10000 | 10000 | 2 | 0.226 | 0.0 | 20 | 0.001 | 0.0 | random | NaN | 20 | NaN | 0.054 | 0.0 | 4.173 | 4.173 | See | See |
| 3 | KMeans_short | False | fit | 10000 | 10000 | 2 | 0.210 | 0.0 | 20 | 0.001 | 0.0 | k-means++ | NaN | 20 | NaN | 0.082 | 0.0 | 2.557 | 2.557 | See | See |
| 6 | KMeans_short | False | fit | 10000 | 10000 | 100 | 0.198 | 0.0 | 20 | 0.040 | 0.0 | random | NaN | 20 | NaN | 0.114 | 0.0 | 1.732 | 1.732 | See | See |
| 9 | KMeans_short | False | fit | 10000 | 10000 | 100 | 0.564 | 0.0 | 20 | 0.014 | 0.0 | k-means++ | NaN | 20 | NaN | 0.314 | 0.0 | 1.794 | 1.794 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | False | predict | 10000 | 1000 | 2 | 0.002 | 0.0 | 20 | 0.009 | 0.000 | random | 0.002 | 20 | 0.001 | 0.001 | 0.001 | 1.913 | 3.118 | See | See |
| 2 | KMeans_short | False | predict | 10000 | 1 | 2 | 0.001 | 0.0 | 20 | 0.000 | 0.001 | random | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 9.655 | 11.571 | See | See |
| 4 | KMeans_short | False | predict | 10000 | 1000 | 2 | 0.002 | 0.0 | 20 | 0.009 | 0.000 | k-means++ | 0.002 | 20 | 0.001 | 0.001 | 0.000 | 3.354 | 3.470 | See | See |
| 5 | KMeans_short | False | predict | 10000 | 1 | 2 | 0.001 | 0.0 | 20 | 0.000 | 0.001 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 10.167 | 12.325 | See | See |
| 7 | KMeans_short | False | predict | 10000 | 1000 | 100 | 0.002 | 0.0 | 20 | 0.323 | 0.000 | random | 0.321 | 20 | 0.311 | 0.001 | 0.000 | 2.384 | 2.450 | See | See |
| 8 | KMeans_short | False | predict | 10000 | 1 | 100 | 0.001 | 0.0 | 20 | 0.001 | 0.001 | random | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 8.583 | 9.776 | See | See |
| 10 | KMeans_short | False | predict | 10000 | 1000 | 100 | 0.003 | 0.0 | 20 | 0.307 | 0.000 | k-means++ | 0.381 | 20 | 0.286 | 0.001 | 0.000 | 2.621 | 2.658 | See | See |
| 11 | KMeans_short | False | predict | 10000 | 1 | 100 | 0.001 | 0.0 | 20 | 0.001 | 0.001 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 7.364 | 8.355 | See | See |
LogisticRegression¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | False | fit | 1000000 | 1000000 | 100 | 11.848 | 0.0 | [20] | 0.068 | 0.000 | NaN | NaN | NaN | NaN | NaN | 2.039 | 0.0 | 5.811 | 5.811 | See | See |
| 3 | LogisticRegression | False | fit | 1000 | 1000 | 10000 | 3.599 | 0.0 | [26] | 0.022 | 0.004 | NaN | NaN | NaN | NaN | NaN | 0.898 | 0.0 | 4.007 | 4.007 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | False | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | [20] | 2.881 | 0.0 | NaN | NaN | NaN | NaN | 0.56 | 0.000 | 0.0 | 0.799 | 0.864 | See | See |
| 2 | LogisticRegression | False | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | [20] | 0.012 | 0.0 | NaN | NaN | NaN | NaN | 1.00 | 0.000 | 0.0 | 0.371 | 0.440 | See | See |
| 4 | LogisticRegression | False | predict | 1000 | 100 | 10000 | 0.002 | 0.0 | [26] | 5.008 | 0.0 | NaN | NaN | NaN | NaN | 0.35 | 0.003 | 0.0 | 0.534 | 0.539 | See | See |
| 5 | LogisticRegression | False | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | [26] | 0.882 | 0.0 | NaN | NaN | NaN | NaN | 0.00 | 0.001 | 0.0 | 0.131 | 0.135 | See | See |
Ridge¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | False | fit | 1000 | 1000 | 10000 | 0.188 | 0.0 | NaN | 0.426 | 0.0 | NaN | NaN | NaN | 0.186 | 0.0 | 1.012 | 1.012 | See | See |
| 3 | Ridge | False | fit | 1000000 | 1000000 | 100 | 1.431 | 0.0 | NaN | 0.559 | 0.0 | NaN | NaN | NaN | 1.125 | 0.0 | 1.272 | 1.272 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | False | predict | 1000 | 1000 | 10000 | 0.012 | 0.0 | NaN | 6.588 | 0.0 | NaN | NaN | 0.083 | 0.02 | 0.0 | 0.616 | 0.616 | See | See |
| 2 | Ridge | False | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | NaN | 1.155 | 0.0 | NaN | NaN | NaN | 0.00 | 0.0 | 0.625 | 0.739 | See | See |
| 4 | Ridge | False | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | NaN | 5.271 | 0.0 | NaN | NaN | 1.000 | 0.00 | 0.0 | 0.617 | 0.699 | See | See |
| 5 | Ridge | False | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | NaN | 0.013 | 0.0 | NaN | NaN | NaN | 0.00 | 0.0 | 0.645 | 0.803 | See | See |